Search Results - (( data thinking process algorithm ) OR ( java adaptation optimization algorithm ))
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1
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
2
Computational Thinking : Experiences of Rural Pupils in Sarawak Primary School
Published 2021“…The Computational Thinking results of quantitative data were collected using pre-test and post-test that consisted of five subjective computational thinking items. …”
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3
Critical review of computational thinking in Islamic studies
Published 2026“…While Computational Thinking (CT) enhances research efficiency through natural language processing (NLP) and data-driven approaches, its implementation risks algorithmic reductionism and loss of interpretive depth in sacred texts. …”
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4
Enhancing understanding of programming concepts through physical games
Published 2017“…The activities were conducted involving first and fourth year undergraduate students and Master students in Programming 1 (31 students), Data Structure (6 students), Analysis of Algorithm (12 students) and Advanced Algorithm (22 students) courses respectively. …”
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5
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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6
Mathematical modelling on communication between two parties / Nor Anees Asyiqin Md Disa, Khairunnisa Munawarah Khairul Anwar and Aniesa Farhana Mazlan
Published 2022“…Since the key exchange process is successful, we think the offered methods are effective.…”
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Student Project -
7
Art-Integration in Computational Thinking as an Unplugged Pedagogical Approach at A Rural Sarawak Primary School
Published 2020“…The purpose of this study is to explore the use of visual art in learning the problem-solving process and as an unplugged approach to involve learners in computational thinking. …”
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8
An empirical study of TensorFlow lite performances in Raspberry Pi / Mohamad Harith Mohd Zahid
Published 2020“…Thus, it can be concluded that as the processing data increase the time average decrease but vice versa to the different types of models where it increases with the more data it processes over time.…”
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9
Predicting game-induced emotions using EEG, data mining and machine learning
Published 2024“…The data acquisition stage, data pre-processing, data annotation and feature extraction stage were designed and conducted in this paper to obtain and extract the EEG features from the Gameemo dataset. …”
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10
What, how and when to use knowledge in neural network application
Published 2004“…The methodology comprises five steps namely variable selection, data collection, data preprocessing, training &validation, and testing.…”
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11
Predicting STEM academic performance in secondary schools: data mining approach
Published 2019“…Three different data mining classification algorithms which are Decision Tree (DT), Artificial Neural Networks (ANN), and Naive Bayes (NB) will be used on the dataset. …”
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12
Artificial intelligence in sustainability reporting / Prof. Dr Corina Joseph
Published 2023“…The rapid progress of AI has been facilitated by the extensive use of other technologies like machine learning methods for structured data, modern deep learning, and natural language processing for unstructured data. …”
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13
Intelligent deep machine learning cyber phishing URL detection based on BERT features extraction
Published 2022“…Then, the natural language processing (NLP) algorithm was applied to the unique data column and extracted a huge number of useful data features in terms of meaningful text information. …”
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14
Prediction of mental health among university students
Published 2021“…This paper explores the state of student well-being and uses various machine learning algorithms for the prediction process based on the data of entrepreneurial competency in university students. …”
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15
AMI screening using linguistic fuzzy rules
Published 2010“…Since there is a tradeoff in the fuzzy system between the accuracy which measures the capability of the system to predict the diagnosis of AMI and transparency which reflects its ability to describe the symptoms-diagnosis relation in an understandable way, the proposed fuzzy rules are designed in a such a way to find an appropriate balance between these two conflicting modeling objectives using multi-objective genetic algorithms. The main advantage of the generated linguistic fuzzy rules is their ability to describe the relation between the symptoms and the outcome of the diagnosis in an understandable way, close to human thinking and this feature may help doctors to understand the decision process of the fuzzy rules.…”
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16
Prediction of tribological behaviour using machine learning
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Teaching students interdisciplinary knowledge through compilation of differential models within the framework of course projects / Duisebek Nurgabyl ... [et al.]
Published 2023“…In addition, in the process of teaching students to compile differential models, there are difficulties in establishing dependencies between interdisciplinary concepts, in compiling and solving differential models. …”
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User-guided Database Schema Generation For Naive Database Developers
Published 2014“…The world is abound with data. Data creates value and competitive edges to an organization when it turned into more strategic, customer-oriented, and competitive information, a great significant to the continued health and survival of an organization. …”
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Final Year Project -
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Artificial Neural Network Flood Prediction for Sungai Isap Residence
Published 2016“…This model is able to initiate the same brain thinking process and avoid the influence of the predict judgment. …”
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20
Discovering student learning styles in engineering mathematic at Politeknik Merlimau using neural network techniques
Published 2015“…Four learning dimension has been classified by using backpropagation neural networks. The algorithm has been run on training, validation and testing, training process data and 20 neurons. …”
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Thesis
